Matteo Poggi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
82
Venues
14
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
82 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | FoundationSLAM: Unleashing the Power of Depth Foundation Models for End-to-End Dense Visual SLAM. | Yuchen Wu, Jiahe Li, Fabio Tosi, Matteo Poggi, Jin Zheng, Xiao Bai |
| 2026 | WACV | WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields. | Sadra Safadoust, Fabio Tosi, Fatma Gney, Matteo Poggi |
| 2025 | CVPR | Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail. | Luca Bartolomei, Fabio Tosi, Matteo Poggi, Stefano Mattoccia |
| 2025 | CVPR | The Fourth Monocular Depth Estimation Challenge. | Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad |
| 2025 | CVPR | Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation. | Reza Qorbani, Gianluca Villani, Theodoros Panagiotakopoulos, Marc Botet Colomer, Linus Hrenstam-Nielsen, Mattia Seg, Pier Luigi Dovesi, Jussi Karlgren, Daniel Cremers, Federico Tombari, Matteo Poggi |
| 2025 | CVPR | NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang |
| 2025 | CVPR | Learning Temporally Consistent Video Depth from Video Diffusion Priors. | Jiahao Shao, Yuanbo Yang, Hongyu Zhou, Youmin Zhang, Yujun Shen, Vitor Guizilini, Yue Wang, Matteo Poggi, Yiyi Liao |
| 2025 | ICCV | Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation. | Luca Bartolomei, Enrico Mannocci, Fabio Tosi, Matteo Poggi, Stefano Mattoccia |
| 2025 | ICCV | ToF-Splatting: Dense SLAM Using Sparse Time-of-Flight Depth and Multi-Frame Integration. | Andrea Conti, Matteo Poggi, Valerio Cambareri, Martin R. Oswald, Stefano Mattoccia |
| 2025 | ICCV | TRICKY 2025 HouseCat6D Object Pose Estimation Challenge with Specular and Transparent Surfaces. | Weihang Li, Junwen Huang, Hyunjun Jung, Guangyao Zhai, Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Jing He, Yiqing Wang, Kexin Zhang, Licheng Jiao, Lingling Li, Fang Liu, Wenping Ma, Benjamin Busam |
| 2025 | ICCV | FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases. | Matteo Poggi, Fabio Tosi |
| 2025 | ICCV | Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond. | Xin Qiao, Matteo Poggi, Xing Wei, Pengchao Deng, Yanhui Zhou, Stefano Mattoccia |
| 2025 | ICCV | TRICKY 2025 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Benjamin Busam, Guangyao Zhai, Weihang Li, Junwen Huang, Hyunjun Jung, Mykola Lavreniuk, Pihai Sun, Yijun Luo, Hongtao Wang, Manying Gao, Kui Jiang, Junjun Jiang |
| 2025 | ICIAP | Zero-Shot Neural Architecture Search for Efficient Deep Stereo Matching. | Alessio Mingozzi, Stefano Mattoccia, Matteo Poggi, Fatma Gney |
| 2025 | ICRA | HS-SLAM: Hybrid Representation with Structural Supervision for Improved Dense SLAM. | Ziren Gong, Fabio Tosi, Youmin Zhang, Stefano Mattoccia, Matteo Poggi |
| 2025 | ICRA | Lightstereo: Channel Boost is All You Need for Efficient 2D Cost Aggregation. | Xianda Guo, Chenming Zhang, Youmin Zhang, Wenzhao Zheng, Dujun Nie, Matteo Poggi, Long Chen |
| 2025 | ICRA | Drive with the Flow. | Enrico Mannocci, Matteo Poggi, Stefano Mattoccia |
| 2025 | IROS | Self-supervised Monocular Depth Estimation for Dynamic Objects with Ground Propagation. | Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2025 | WACV | CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation. | Ugo Leone Cavalcanti, Matteo Poggi, Fabio Tosi, Valerio Cambareri, Vladimir Zlokolica, Stefano Mattoccia |
| 2024 | BMVC | Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs. | Sadra Safadoust, Fabio Tosi, Fatma Gney, Matteo Poggi |
| 2024 | CVPR | Federated Online Adaptation for Deep Stereo. | Matteo Poggi, Fabio Tosi |
| 2024 | CVPR | NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang |
| 2024 | CVPR | The Third Monocular Depth Estimation Challenge. | Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder |
| 2024 | ECCV | LiDAR-Event Stereo Fusion with Hallucinations. | Luca Bartolomei, Matteo Poggi, Andrea Conti, Stefano Mattoccia |
| 2024 | ECCV | Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor. | Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia |
| 2024 | ECCV | TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang |
| 2024 | ECCV | Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions. | Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi |
| 2024 | IROS | MaskingDepth: Masked Consistency Regularization for Semi-Supervised Monocular Depth Estimation. | Jongbeom Baek, Gyeongnyeon Kim, Seonghoon Park, Honggyu An, Matteo Poggi, Seungryong Kim |
| 2024 | IROS | Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation. | Rizhao Fan, Matteo Poggi, Stefano Mattoccia |
| 2023 | BMVC | Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data. | Rizhao Fan, Fabio Tosi, Matteo Poggi, Stefano Mattoccia |
| 2023 | BMVC | On-Site Adaptation for Monocular Depth Estimation with a Static Camera. | Huan Li, Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2023 | CVPR | CompletionFormer: Depth Completion with Convolutions and Vision Transformers. | Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia |
| 2023 | CVPR | Contrastive Learning for Depth Prediction. | Rizhao Fan, Matteo Poggi, Stefano Mattoccia |
| 2023 | CVPR | NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin |
| 2023 | CVPR | The Second Monocular Depth Estimation Challenge. | Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao |
| 2023 | CVPR | NeRF-Supervised Deep Stereo. | Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi |
| 2023 | ICCV | Active Stereo Without Pattern Projector. | Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia |
| 2023 | ICCV | GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. | Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi |
| 2023 | ICCV | To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. | Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Hrenstam-Nielsen, Hossein Azizpour, Hedvig Kjellstrm, Daniel Cremers, Matteo Poggi |
| 2023 | ICCV | Learning Depth Estimation for Transparent and Mirror Surfaces. | Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano |
| 2023 | ICCV | GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. | Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia |
| 2023 | IROS | TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network. | Youmin Zhang, Matteo Poggi, Stefano Mattoccia |
| 2023 | IROS | Depth Self-Supervision for Single Image Novel View Synthesis. | Giovanni Minelli, Matteo Poggi, Samuele Salti |
| 2023 | WACV | Sparsity Agnostic Depth Completion. | Andrea Conti, Matteo Poggi, Stefano Mattoccia |
| 2023 | WACV | ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. | Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano |
| 2023 | WACV | The Monocular Depth Estimation Challenge. | Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao |
| 2022 | BMVC | A Cascade Dense Connection Fusion Network for Depth Completion. | Rizhao Fan, Zhigen Li, Matteo Poggi, Stefano Mattoccia |
| 2022 | CVPR | Open Challenges in Deep Stereo: the Booster Dataset. | Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano |
| 2022 | CVPR | RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. | Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano |
| 2022 | DSD | RED-SEA: Network Solution for Exascale Architectures. | Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Pascale Bernier-Bruna, Claire Chen, Said Derradji, Stphane Guez, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Prache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Nikos Chrysos, Manolis Katevenis, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Mller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz, Francisco J. Alfaro, Jess Escudero-Sahuquillo, Pedro Javier Garca, Francisco J. Quiles, Jos L. Snchez, Adrin Castell, Jose Duro, Mara Engracia Gmez, Enrique S. Quintana-Ort, Julio Sahuquillo, Eugenio Stabile |
| 2022 | ECCV | Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions. | Theodoros Panagiotakopoulos, Pier Luigi Dovesi, Linus Hrenstam-Nielsen, Matteo Poggi |
| 2022 | ICRA | Meta-confidence estimation for stereo matching. | Seungryong Kim, Matteo Poggi, Sunok Kim, Kwanghoon Sohn, Stefano Mattoccia |
| 2022 | IROS | Unsupervised confidence for LiDAR depth maps and applications. | Andrea Conti, Matteo Poggi, Filippo Aleotti, Stefano Mattoccia |
| 2022 | IROS | Multi-View Guided Multi-View Stereo. | Matteo Poggi, Andrea Conti, Stefano Mattoccia |
| 2021 | CVPR | Learning Optical Flow From Still Images. | Filippo Aleotti, Matteo Poggi, Stefano Mattoccia |
| 2021 | ICCV | Sensor-Guided Optical Flow. | Matteo Poggi, Filippo Aleotti, Stefano Mattoccia |
| 2020 | AAAI | Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge. | Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2020 | CVPR | Enabling monocular depth perception at the very edge. | Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia |
| 2020 | CVPR | On the Uncertainty of Self-Supervised Monocular Depth Estimation. | Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia |
| 2020 | CVPR | Distilled Semantics for Comprehensive Scene Understanding from Videos. | Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia |
| 2020 | ECCV | Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation. | Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia |
| 2020 | ECCV | Self-adapting Confidence Estimation for Stereo. | Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia |
| 2020 | ICPR | Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation. | Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia |
| 2020 | ICRA | Real-Time Semantic Stereo Matching. | Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Mart, Hedvig Kjellstrm, Alessandro Pieropan, Stefano Mattoccia |
| 2019 | CVPR | Guided Stereo Matching. | Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia |
| 2019 | CVPR | Real-Time Self-Adaptive Deep Stereo. | Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano |
| 2019 | CVPR | Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. | Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia |
| 2019 | CVPR | Leveraging Confident Points for Accurate Depth Refinement on Embedded Systems. | Fabio Tosi, Matteo Poggi, Stefano Mattoccia |
| 2019 | DATE | Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. | Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2018 | ACCV | Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. | Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano |
| 2018 | ECCV | Generative Adversarial Networks for Unsupervised Monocular Depth Prediction. | Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia |
| 2018 | ECCV | Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning. | Fabio Tosi, Matteo Poggi, Antonio Benincasa, Stefano Mattoccia |
| 2018 | IROS | Towards Real-Time Unsupervised Monocular Depth Estimation on CPU. | Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia |
| 2017 | BMVC | Learning confidence measures in the wild. | Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi Di Stefano |
| 2017 | CVPR | Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps. | Matteo Poggi, Stefano Mattoccia |
| 2017 | CVPR | Even More Confident Predictions with Deep Machine-Learning. | Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2017 | ICCV | Quantitative Evaluation of Confidence Measures in a Machine Learning World. | Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2017 | ICCV | Unsupervised Adaptation for Deep Stereo. | Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano |
| 2017 | ICIAP | Efficient Confidence Measures for Embedded Stereo. | Matteo Poggi, Fabio Tosi, Stefano Mattoccia |
| 2016 | BMVC | Learning from scratch a confidence measure. | Matteo Poggi, Stefano Mattoccia |
| 2016 | ISCC | A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning. | Matteo Poggi, Stefano Mattoccia |
| 2015 | ICIAP | Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired. | Matteo Poggi, Luca Nanni, Stefano Mattoccia |